In other words, who is included in the sample is left up to the subjective judgment of the researcher. The key difference here is that in stratified sampling, you take a random sample from each subgroup, while in quota sampling, the sample selection is non-random, usually via convenience sampling. Note that quota sampling may sound similar to stratified sampling, a probability sampling method where you divide your population into subgroups that share a common characteristic. This way, you get the perspective of both age groups. You may decide to draw a sample of 100 people, including a quota of 50 people under 40 and a quota of 50 people over 40. Here, it’s up to you to determine the quota of individuals that you are going to include in your sample in advance.Įxample: Non-proportional quota samplingLet’s say you are seeking opinions about the design choices on a website, but do not know how many people use it.
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